# Gemini 4 Argon vs GLM-5.3 - AI Model Comparison

- Page: https://opencode.ai/data/compare/google/gemini-4-argon/zhipuai/glm-5-3
- Updated: 2026-10-13T17:12:37.000Z

|  | Gemini 4 Argon | GLM-5.3 |
| --- | --- | --- |
| Lab | Google | Zhipu |
| Context window | 1M | 1M |
| Max output | 66K | 131K |
| Input modalities | text, image, video, audio, pdf | text |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | No | Yes |
| Release date | 2026-10-13 | 2026-08-14 |
| Input price per 1M tokens | $4.00 | $1.40 |
| Output price per 1M tokens | $20.00 | $4.40 |
| Cached input price per 1M tokens | $0.20 | $0.26 |
| OpenCode tokens: past 2 months | - | 1.3T |
| Share of all tokens | - | 0.1% |
| Rank by tokens last week | - | #25 |
| Unique users | - | 321K |
| Weekly retention | - | 50.1% |

Model pages: [Gemini 4 Argon](https://opencode.ai/data/google/gemini-4-argon.md), [GLM-5.3](https://opencode.ai/data/zhipuai/glm-5-3.md)

## Methodology

- Updates: Aggregated every hour. Days and weeks use UTC.
- Tokens: Input, output, reasoning, and cached tokens for each request.
- Users and sessions: Approximate counts of distinct users and OpenCode sessions.
- Cost: Session cost is the average cost per OpenCode session. Token prices are list prices from the OpenCode model catalog.
- Retention: The share of a model's users in one week who use it again the next week.
- Citation: Cite OpenCode Data (opencode.ai/data) with the update time shown at the top of the page.